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Computational Histopathology

Analysis of histology images of the human tissue biopsies remains the most reliable way of diagnosing and grading cancer. Our work on the automatic classification of histology images is motivated by the fact that there is significant inter- and intra- rater variability in the grading and diagnosis of cancer from histology slides by human experts. Computational histopathology can assist the pathologists in making the grading and diagnosis reproducible by providing useful quantitative measures from histology images of a patient suspected or diagnosed of having cancer.

Here at COMBI, we are working with a range of histopathology images with the aim of developing algorithms to assist the histopathologists in order to improve the reliability and reproducibility of the pathology. Current projects include:

Recent events co-organised by our group are: